Source code for improver.cli.freezing_rain

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"""Script to generate freezing rain probabilities."""

from improver import cli


[docs]@cli.clizefy @cli.with_output def process(*cubes: cli.inputcube, model_id_attr: str = None): """ Calculates a probability of freezing-rain near the ground using rain, sleet, and temperature probabilities. P(freezing_rain rate or accumulation > threshold) = ( (P(rain rate or accumulation > threshold) + P(sleet rate or accumulation > threshold)) * P(temperature < 0C) If the input data is multi-realization, the realization coordinate is collapsed as part of this calculation to yield an ensemble average probability of freezing rain. Args: cubes (iris.cube.CubeList or list): Contains cubes of rain, sleet, and temperature probabilities. The precipitation cubes may be either rates or accumulations. The temperature should be a surface or screen temperature. It may be a period minimum, with a period that matches the precipitation accumulation period, or an instantaneous temperature if using precipitation rates. model_id_attr (str): Name of the attribute used to identify the source model for blending. Returns: iris.cube.Cube: A cube of freezing rain rate or accumulation probabilities. """ from iris.cube import CubeList from improver.precipitation_type.freezing_rain import FreezingRain return FreezingRain(model_id_attr=model_id_attr)(CubeList(cubes))